Heterogeneous and anisotropic elastic parameter estimation using a novel semi-analytical forward solver

Abstract

An efficient procedure using a novel semi-analytical forward solver for identifying heterogeneous and anisotropic elastic parameters from only one full-field measurement is proposed and explored. We formulate the inverse problem as an special energy functional minimization with total variation(TV) regularization. The minimization problem is solved by Adam algorithm, which only requires solving one forward problem and no adjoint problem in each iteration. In order to deal with the irregularity of the elastic regions, the anisotropy and heterogeneity of parameters and potential singularities in forward-modeled issues, a novel semi-analytical forward solver named the direct method of lines is proposed, which discretizes angular variable while preserving analytical solutions along remaining coordinates. To validate the efficacy of our procedure, a series of numerical experiments are implemented subsequently, achieving reliable performance in both forward modeling and the six elastic arguments reconstruction scenarios.